Senior Python LLM Integration Specialist

2 days ago

Chandigarh, Chandigarh, India beBeePython Full time ₹ 18,00,000 - ₹ 20,10,000
Technical Leadership Opportunity

We are seeking a skilled Technical Lead with expertise in Python and Large Language Model (LLM) integration to drive the development and deployment of AI-powered solutions.

This role requires a balance of technical leadership, architecture design, and hands-on coding to ensure high-quality, scalable, and efficient AI-driven applications. You will collaborate closely with product, data science, and MLOps teams to integrate LLMs into real-world applications, optimize performance, and guide the team in best practices for AI system design.

Key Responsibilities:
  • Lead the development and integration of Python-based applications with LLMs.
  • Architect and implement LLM pipelines including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation.
  • Design scalable microservices and APIs for AI features.
  • Collaborate with MLOps teams to deploy and monitor AI models in production.
  • Ensure performance optimization, cost efficiency, and security in LLM workflows.
  • Guide the team on Python best practices, code reviews, and technical problem-solving.
Required Skills & Qualifications:
  • Strong proficiency in Python (FastAPI, Flask).
  • Solid experience with LLM integration (OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex).
  • Understanding of RAG pipelines (vector databases like Pinecone, Weaviate, FAISS, Milvus).
  • Experience with prompt engineering & evaluation techniques.
  • Knowledge of MLOps tools (MLflow, Kubeflow, Langfuse) and deployment on AWS/GCP/Azure.
  • Familiarity with containerization and orchestration (Docker, Kubernetes).
  • Strong grasp of REST APIs, GraphQL, and microservices architecture.
Nice-to-Have Skills:
  • Experience with agentic AI or Model Context Protocol (MCP).
  • Background in data pipelines (ETL, streaming data).
  • Exposure to AI security & compliance practices.
  • Prior work in scalable enterprise AI products.
Education:
  • Bachelor's or Master's in Computer Science, AI/ML, or a related field. Equivalent experience is also welcome.

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